A Review for Designing a Low-Cost Online Lower Limb Monitoring System of a Post-stroke Rehabilitation
2nd International Conference on Electronics, Biomedical Engineering, and Health Informatics, ICEBEHI 2021
; 898:479-490, 2022.
Article
in English
| Scopus | ID: covidwho-1958939
ABSTRACT
The physical therapy generally requires direct assistance from therapists continuously, however, the time is very limited. Moreover, the social distancing policy in the COVID-19 pandemic period made the patient could not come to rehabilitation center for physical therapy. Remote physical therapy is suggested to reduce dependency of therapist for conducting the physical therapy. However, there is few information about the necessary parameters in lower limb monitoring of post-stroke patient. Therefore, in this paper, a review for designing a low-cost online homecare physical therapy monitoring system is proposed. Article finding had been done using online search engine Google Scholars to conclude the design of the online monitoring system. Several keywords had been used, such as “online stroke rehabilitation monitoring,” “stroke rehabilitation parameters,” “stroke monitoring Internet of Things,” and “lower limb stroke monitoring.” The results show that the necessary monitor parameters are lower limb kinematics and dynamics, which can be complimented by bio-signal data, such as EMG. The lower limb monitoring system can use IMU, muscle sensor, and footswitches to measure the necessary parameters. IMU measures the lower limb kinematics because it provides wide range of measurement. Muscle sensor, which compatible to microcontroller, measures the EMG. Lastly, the footswitches detect the gait phases, which classify the measured data for more in-depth analysis. The mentioned sensors are cheap and available in the online market of Indonesia, which is suitable to realize a low-cost lower limb monitoring system. The research finding also suggests quick and accurate feedback mechanism for improving the training quality, which the feedback is combination of therapist opinion and artificial intelligence prediction. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Internet of things; Low-cost; Online monitoring; Post-stroke patients; Post-stroke rehabilitation; Costs; Electromyography; Feedback; Kinematics; Monitoring; Muscle; Neuromuscular rehabilitation; Partial discharges; Search engines; Homecare; Low-costs; Lower limb; Monitoring system; Post stroke patients; Search engine - Google Scholar; Stroke rehabilitation; Therapy monitoring
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd International Conference on Electronics, Biomedical Engineering, and Health Informatics, ICEBEHI 2021
Year:
2022
Document Type:
Article
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